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<a href="_abstract_model_8h.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno">    1</span><span class="comment">//===========================================================================</span><span class="comment"></span></div>
<div class="line"><a id="l00002" name="l00002"></a><span class="lineno">    2</span><span class="comment">/*!</span></div>
<div class="line"><a id="l00003" name="l00003"></a><span class="lineno">    3</span><span class="comment"> * \author      T.Glasmachers, O. Krause</span></div>
<div class="line"><a id="l00004" name="l00004"></a><span class="lineno">    4</span><span class="comment"> * \date        2010</span></div>
<div class="line"><a id="l00005" name="l00005"></a><span class="lineno">    5</span><span class="comment"> * \file</span></div>
<div class="line"><a id="l00006" name="l00006"></a><span class="lineno">    6</span><span class="comment"> *</span></div>
<div class="line"><a id="l00007" name="l00007"></a><span class="lineno">    7</span><span class="comment"> * \par Copyright 1995-2017 Shark Development Team</span></div>
<div class="line"><a id="l00008" name="l00008"></a><span class="lineno">    8</span><span class="comment"> * </span></div>
<div class="line"><a id="l00009" name="l00009"></a><span class="lineno">    9</span><span class="comment"> * &lt;BR&gt;&lt;HR&gt;</span></div>
<div class="line"><a id="l00010" name="l00010"></a><span class="lineno">   10</span><span class="comment"> * This file is part of Shark.</span></div>
<div class="line"><a id="l00011" name="l00011"></a><span class="lineno">   11</span><span class="comment"> * &lt;https://shark-ml.github.io/Shark/&gt;</span></div>
<div class="line"><a id="l00012" name="l00012"></a><span class="lineno">   12</span><span class="comment"> * </span></div>
<div class="line"><a id="l00013" name="l00013"></a><span class="lineno">   13</span><span class="comment"> * Shark is free software: you can redistribute it and/or modify</span></div>
<div class="line"><a id="l00014" name="l00014"></a><span class="lineno">   14</span><span class="comment"> * it under the terms of the GNU Lesser General Public License as published </span></div>
<div class="line"><a id="l00015" name="l00015"></a><span class="lineno">   15</span><span class="comment"> * by the Free Software Foundation, either version 3 of the License, or</span></div>
<div class="line"><a id="l00016" name="l00016"></a><span class="lineno">   16</span><span class="comment"> * (at your option) any later version.</span></div>
<div class="line"><a id="l00017" name="l00017"></a><span class="lineno">   17</span><span class="comment"> * </span></div>
<div class="line"><a id="l00018" name="l00018"></a><span class="lineno">   18</span><span class="comment"> * Shark is distributed in the hope that it will be useful,</span></div>
<div class="line"><a id="l00019" name="l00019"></a><span class="lineno">   19</span><span class="comment"> * but WITHOUT ANY WARRANTY; without even the implied warranty of</span></div>
<div class="line"><a id="l00020" name="l00020"></a><span class="lineno">   20</span><span class="comment"> * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the</span></div>
<div class="line"><a id="l00021" name="l00021"></a><span class="lineno">   21</span><span class="comment"> * GNU Lesser General Public License for more details.</span></div>
<div class="line"><a id="l00022" name="l00022"></a><span class="lineno">   22</span><span class="comment"> * </span></div>
<div class="line"><a id="l00023" name="l00023"></a><span class="lineno">   23</span><span class="comment"> * You should have received a copy of the GNU Lesser General Public License</span></div>
<div class="line"><a id="l00024" name="l00024"></a><span class="lineno">   24</span><span class="comment"> * along with Shark.  If not, see &lt;http://www.gnu.org/licenses/&gt;.</span></div>
<div class="line"><a id="l00025" name="l00025"></a><span class="lineno">   25</span><span class="comment"> *</span></div>
<div class="line"><a id="l00026" name="l00026"></a><span class="lineno">   26</span><span class="comment"> */</span></div>
<div class="line"><a id="l00027" name="l00027"></a><span class="lineno">   27</span><span class="comment">//===========================================================================</span></div>
<div class="line"><a id="l00028" name="l00028"></a><span class="lineno">   28</span> </div>
<div class="line"><a id="l00029" name="l00029"></a><span class="lineno">   29</span><span class="preprocessor">#ifndef SHARK_MODELS_ABSTRACTMODEL_H</span></div>
<div class="line"><a id="l00030" name="l00030"></a><span class="lineno">   30</span><span class="preprocessor">#define SHARK_MODELS_ABSTRACTMODEL_H</span></div>
<div class="line"><a id="l00031" name="l00031"></a><span class="lineno">   31</span><span class="comment"></span> </div>
<div class="line"><a id="l00032" name="l00032"></a><span class="lineno">   32</span><span class="comment">/// \defgroup models Models</span></div>
<div class="line"><a id="l00033" name="l00033"></a><span class="lineno">   33</span><span class="comment">///</span></div>
<div class="line"><a id="l00034" name="l00034"></a><span class="lineno">   34</span><span class="comment">/// \brief Model classes for statistical prediction.</span></div>
<div class="line"><a id="l00035" name="l00035"></a><span class="lineno">   35</span><span class="comment">///</span></div>
<div class="line"><a id="l00036" name="l00036"></a><span class="lineno">   36</span><span class="comment">/// Models in shark define the classes that can perform statistical predictions on supplied input data.</span></div>
<div class="line"><a id="l00037" name="l00037"></a><span class="lineno">   37</span><span class="comment">/// Models can have different types of inputs and outputs so that they can be sued for classification and regression tasks.</span></div>
<div class="line"><a id="l00038" name="l00038"></a><span class="lineno">   38</span><span class="comment"></span><span class="preprocessor">#include &lt;<a class="code" href="_flags_8h.html">shark/Core/Flags.h</a>&gt;</span></div>
<div class="line"><a id="l00039" name="l00039"></a><span class="lineno">   39</span><span class="preprocessor">#include &lt;<a class="code" href="_i_parameterizable_8h.html">shark/Core/IParameterizable.h</a>&gt;</span></div>
<div class="line"><a id="l00040" name="l00040"></a><span class="lineno">   40</span><span class="preprocessor">#include &lt;<a class="code" href="_i_nameable_8h.html">shark/Core/INameable.h</a>&gt;</span></div>
<div class="line"><a id="l00041" name="l00041"></a><span class="lineno">   41</span><span class="preprocessor">#include &lt;<a class="code" href="_state_8h.html">shark/Core/State.h</a>&gt;</span></div>
<div class="line"><a id="l00042" name="l00042"></a><span class="lineno">   42</span><span class="preprocessor">#include &lt;<a class="code" href="_shape_8h.html">shark/Core/Shape.h</a>&gt;</span></div>
<div class="line"><a id="l00043" name="l00043"></a><span class="lineno">   43</span><span class="preprocessor">#include &lt;<a class="code" href="_random_8h.html">shark/Core/Random.h</a>&gt;</span></div>
<div class="line"><a id="l00044" name="l00044"></a><span class="lineno">   44</span><span class="preprocessor">#include&lt;<a class="code" href="_dataset_8h.html">shark/Data/Dataset.h</a>&gt;</span></div>
<div class="line"><a id="l00045" name="l00045"></a><span class="lineno">   45</span> </div>
<div class="line"><a id="l00046" name="l00046"></a><span class="lineno">   46</span><span class="keyword">namespace </span><a class="code hl_namespace" href="namespaceshark.html" title="AbstractMultiObjectiveOptimizer.">shark</a> {</div>
<div class="line"><a id="l00047" name="l00047"></a><span class="lineno">   47</span><span class="comment"></span> </div>
<div class="line"><a id="l00048" name="l00048"></a><span class="lineno">   48</span><span class="comment">///\brief Base class for all Models.</span></div>
<div class="line"><a id="l00049" name="l00049"></a><span class="lineno">   49</span><span class="comment">///</span></div>
<div class="line"><a id="l00050" name="l00050"></a><span class="lineno">   50</span><span class="comment">/// \par</span></div>
<div class="line"><a id="l00051" name="l00051"></a><span class="lineno">   51</span><span class="comment">/// A model is one of the three fundaments of supervised learning: model, error measure</span></div>
<div class="line"><a id="l00052" name="l00052"></a><span class="lineno">   52</span><span class="comment">/// and an optimization algorithm.</span></div>
<div class="line"><a id="l00053" name="l00053"></a><span class="lineno">   53</span><span class="comment">/// It is a concept of a function which performs a mapping \f$ x \rightarrow f_w(x)\f$.</span></div>
<div class="line"><a id="l00054" name="l00054"></a><span class="lineno">   54</span><span class="comment">/// In contrast to an error function it has two sets of parameters:</span></div>
<div class="line"><a id="l00055" name="l00055"></a><span class="lineno">   55</span><span class="comment">/// The first is the current point to map \f$x\f$, the others are the internal model parameters \f$w\f$</span></div>
<div class="line"><a id="l00056" name="l00056"></a><span class="lineno">   56</span><span class="comment">/// which define the mapping.</span></div>
<div class="line"><a id="l00057" name="l00057"></a><span class="lineno">   57</span><span class="comment">/// Often a model is used to find an optimal mapping for a problem, for example a function which</span></div>
<div class="line"><a id="l00058" name="l00058"></a><span class="lineno">   58</span><span class="comment">/// best fits the points of a given dataset. Therefore, AbstractModel does not only offer</span></div>
<div class="line"><a id="l00059" name="l00059"></a><span class="lineno">   59</span><span class="comment">/// the mapping itself, but also a set of special derivatives with respect to \f$ x \f$ and \f$ w \f$.</span></div>
<div class="line"><a id="l00060" name="l00060"></a><span class="lineno">   60</span><span class="comment">/// Most of the time, only the derivative with respect to \f$ w \f$ is needed, but in some special problems,</span></div>
<div class="line"><a id="l00061" name="l00061"></a><span class="lineno">   61</span><span class="comment">/// like finding optimal stimuli or stacking models, also the input derivative is needed.</span></div>
<div class="line"><a id="l00062" name="l00062"></a><span class="lineno">   62</span><span class="comment">///</span></div>
<div class="line"><a id="l00063" name="l00063"></a><span class="lineno">   63</span><span class="comment">///\par Models are optimized for batch processing. This means, that instead of only one data point at a time, it can</span></div>
<div class="line"><a id="l00064" name="l00064"></a><span class="lineno">   64</span><span class="comment">/// evaluate a big set of inputs at the same time, using optimized routines for this task.</span></div>
<div class="line"><a id="l00065" name="l00065"></a><span class="lineno">   65</span><span class="comment">///</span></div>
<div class="line"><a id="l00066" name="l00066"></a><span class="lineno">   66</span><span class="comment">/// \par</span></div>
<div class="line"><a id="l00067" name="l00067"></a><span class="lineno">   67</span><span class="comment">/// The derivatives are weighted, which means that the derivatives of every single output are added together</span></div>
<div class="line"><a id="l00068" name="l00068"></a><span class="lineno">   68</span><span class="comment">/// weighted by coefficients (see #weightedParameterDerivative). This is an optimization for the chain rule</span></div>
<div class="line"><a id="l00069" name="l00069"></a><span class="lineno">   69</span><span class="comment">/// which is very efficient to calculate most of the time.</span></div>
<div class="line"><a id="l00070" name="l00070"></a><span class="lineno">   70</span><span class="comment">///</span></div>
<div class="line"><a id="l00071" name="l00071"></a><span class="lineno">   71</span><span class="comment">/// \par</span></div>
<div class="line"><a id="l00072" name="l00072"></a><span class="lineno">   72</span><span class="comment">/// It is allowed to store intermediate values during #eval and use them to speed up calculation of</span></div>
<div class="line"><a id="l00073" name="l00073"></a><span class="lineno">   73</span><span class="comment">/// derivatives. Therefore it must be guaranteed that eval() is called before calculating derivatives.</span></div>
<div class="line"><a id="l00074" name="l00074"></a><span class="lineno">   74</span><span class="comment">/// This is no restriction, since typical error measures need the mapping itself and not only the derivative.</span></div>
<div class="line"><a id="l00075" name="l00075"></a><span class="lineno">   75</span><span class="comment">///</span></div>
<div class="line"><a id="l00076" name="l00076"></a><span class="lineno">   76</span><span class="comment">/// \par</span></div>
<div class="line"><a id="l00077" name="l00077"></a><span class="lineno">   77</span><span class="comment">/// Models have names and can be serialised and have parameters. The type of the parameter vector</span></div>
<div class="line"><a id="l00078" name="l00078"></a><span class="lineno">   78</span><span class="comment">/// can be set as third argument. By default, this is RealVector.</span></div>
<div class="line"><a id="l00079" name="l00079"></a><span class="lineno">   79</span><span class="comment">/// \ingroup models</span></div>
<div class="line"><a id="l00080" name="l00080"></a><span class="lineno">   80</span><span class="comment"></span><span class="keyword">template</span>&lt;<span class="keyword">class</span> InputTypeT, <span class="keyword">class</span> OutputTypeT, <span class="keyword">class</span> ParameterVectorType=RealVector&gt;</div>
<div class="foldopen" id="foldopen00081" data-start="{" data-end="};">
<div class="line"><a id="l00081" name="l00081"></a><span class="lineno"><a class="line" href="classshark_1_1_abstract_model.html">   81</a></span><span class="keyword">class </span><a class="code hl_class" href="classshark_1_1_abstract_model.html" title="Base class for all Models.">AbstractModel</a> : <span class="keyword">public</span> <a class="code hl_class" href="classshark_1_1_i_parameterizable.html" title="Top level interface for everything that holds parameters.">IParameterizable</a>&lt;ParameterVectorType&gt;, <span class="keyword">public</span> <a class="code hl_class" href="classshark_1_1_i_nameable.html" title="This class is an interface for all objects which can have a name.">INameable</a>, <span class="keyword">public</span> <a class="code hl_class" href="classshark_1_1_i_serializable.html" title="Abstracts serializing functionality.">ISerializable</a></div>
<div class="line"><a id="l00082" name="l00082"></a><span class="lineno">   82</span>{</div>
<div class="line"><a id="l00083" name="l00083"></a><span class="lineno">   83</span><span class="keyword">public</span>:<span class="comment"></span></div>
<div class="line"><a id="l00084" name="l00084"></a><span class="lineno">   84</span><span class="comment">    /// \brief Defines the input type of the model.</span></div>
<div class="line"><a id="l00085" name="l00085"></a><span class="lineno"><a class="line" href="classshark_1_1_abstract_model.html#a714e85d7a6cd2b68898cb5dbb25c37d4">   85</a></span><span class="comment"></span>    <span class="keyword">typedef</span> InputTypeT <a class="code hl_typedef" href="classshark_1_1_abstract_model.html#a714e85d7a6cd2b68898cb5dbb25c37d4" title="Defines the input type of the model.">InputType</a>;<span class="comment"></span></div>
<div class="line"><a id="l00086" name="l00086"></a><span class="lineno">   86</span><span class="comment">    /// \brief Defines the output type of the model.</span></div>
<div class="line"><a id="l00087" name="l00087"></a><span class="lineno"><a class="line" href="classshark_1_1_abstract_model.html#a8e5acf043e3a76b50d15a852365801b4">   87</a></span><span class="comment"></span>    <span class="keyword">typedef</span> OutputTypeT <a class="code hl_typedef" href="classshark_1_1_abstract_model.html#a8e5acf043e3a76b50d15a852365801b4" title="Defines the output type of the model.">OutputType</a>;<span class="comment"></span></div>
<div class="line"><a id="l00088" name="l00088"></a><span class="lineno">   88</span><span class="comment">    /// \brief Defines the output type of the model compatible with standard functors</span></div>
<div class="line"><a id="l00089" name="l00089"></a><span class="lineno">   89</span><span class="comment"></span>    <span class="keyword">typedef</span> <a class="code hl_typedef" href="classshark_1_1_abstract_model.html#a8e5acf043e3a76b50d15a852365801b4" title="Defines the output type of the model.">OutputType</a> result_type;</div>
<div class="line"><a id="l00090" name="l00090"></a><span class="lineno">   90</span><span class="comment"></span> </div>
<div class="line"><a id="l00091" name="l00091"></a><span class="lineno">   91</span><span class="comment">    ///\brief Defines the BaseType used by the model (this type). Useful for creating derived models</span></div>
<div class="line"><a id="l00092" name="l00092"></a><span class="lineno"><a class="line" href="classshark_1_1_abstract_model.html#a7fccb0cdf4c0b47afbe5da03532b9b4e">   92</a></span><span class="comment"></span>    <span class="keyword">typedef</span> <a class="code hl_class" href="classshark_1_1_abstract_model.html" title="Base class for all Models.">AbstractModel&lt;InputTypeT,OutputTypeT,ParameterVectorType&gt;</a> <a class="code hl_typedef" href="classshark_1_1_abstract_model.html#a7fccb0cdf4c0b47afbe5da03532b9b4e" title="Defines the BaseType used by the model (this type). Useful for creating derived models.">ModelBaseType</a>;</div>
<div class="line"><a id="l00093" name="l00093"></a><span class="lineno">   93</span><span class="comment"></span> </div>
<div class="line"><a id="l00094" name="l00094"></a><span class="lineno">   94</span><span class="comment">    /// \brief defines the batch type of the input type.</span></div>
<div class="line"><a id="l00095" name="l00095"></a><span class="lineno">   95</span><span class="comment">    ///</span></div>
<div class="line"><a id="l00096" name="l00096"></a><span class="lineno">   96</span><span class="comment">    /// This could for example be std::vector&lt;InputType&gt; but for example for RealVector it could be RealMatrix</span></div>
<div class="line"><a id="l00097" name="l00097"></a><span class="lineno"><a class="line" href="classshark_1_1_abstract_model.html#a518304e95092673b7b6438cace052ef6">   97</a></span><span class="comment"></span>    <span class="keyword">typedef</span> <span class="keyword">typename</span> <a class="code hl_struct" href="structshark_1_1_batch.html" title="class which helps using different batch types">Batch&lt;InputType&gt;::type</a> <a class="code hl_typedef" href="classshark_1_1_abstract_model.html#a518304e95092673b7b6438cace052ef6" title="defines the batch type of the input type.">BatchInputType</a>;<span class="comment"></span></div>
<div class="line"><a id="l00098" name="l00098"></a><span class="lineno">   98</span><span class="comment">    /// \brief defines the batch type of the output type</span></div>
<div class="line"><a id="l00099" name="l00099"></a><span class="lineno"><a class="line" href="classshark_1_1_abstract_model.html#aa0c72e230b9a1324c95ba8ac0b07ba13">   99</a></span><span class="comment"></span>    <span class="keyword">typedef</span> <span class="keyword">typename</span> <a class="code hl_struct" href="structshark_1_1_batch.html" title="class which helps using different batch types">Batch&lt;OutputType&gt;::type</a> <a class="code hl_typedef" href="classshark_1_1_abstract_model.html#aa0c72e230b9a1324c95ba8ac0b07ba13" title="defines the batch type of the output type">BatchOutputType</a>;</div>
<div class="line"><a id="l00100" name="l00100"></a><span class="lineno">  100</span> </div>
<div class="line"><a id="l00101" name="l00101"></a><span class="lineno">  101</span> </div>
<div class="line"><a id="l00102" name="l00102"></a><span class="lineno"><a class="line" href="classshark_1_1_abstract_model.html#a0b7aeb13b70c8d4cffc4958e6583627c">  102</a></span>    <a class="code hl_function" href="classshark_1_1_abstract_model.html#a0b7aeb13b70c8d4cffc4958e6583627c">AbstractModel</a>() { }</div>
<div class="line"><a id="l00103" name="l00103"></a><span class="lineno">  103</span> </div>
<div class="line"><a id="l00104" name="l00104"></a><span class="lineno"><a class="line" href="classshark_1_1_abstract_model.html#ad07313494d4f88c8294410d0c77d80b7">  104</a></span>    <span class="keyword">virtual</span> <a class="code hl_function" href="classshark_1_1_abstract_model.html#ad07313494d4f88c8294410d0c77d80b7">~AbstractModel</a>() { }</div>
<div class="line"><a id="l00105" name="l00105"></a><span class="lineno">  105</span> </div>
<div class="foldopen" id="foldopen00106" data-start="{" data-end="};">
<div class="line"><a id="l00106" name="l00106"></a><span class="lineno"><a class="line" href="classshark_1_1_abstract_model.html#a76a2d024b6013037b072596fe4f9f829">  106</a></span>    <span class="keyword">enum</span> <a class="code hl_enumeration" href="classshark_1_1_abstract_model.html#a76a2d024b6013037b072596fe4f9f829">Feature</a> {</div>
<div class="line"><a id="l00107" name="l00107"></a><span class="lineno"><a class="line" href="classshark_1_1_abstract_model.html#a76a2d024b6013037b072596fe4f9f829a89a819e2614f818baa23c5c8fdd4393d">  107</a></span>        <a class="code hl_enumvalue" href="classshark_1_1_abstract_model.html#a76a2d024b6013037b072596fe4f9f829a89a819e2614f818baa23c5c8fdd4393d">HAS_FIRST_PARAMETER_DERIVATIVE</a>  = 1,</div>
<div class="line"><a id="l00108" name="l00108"></a><span class="lineno"><a class="line" href="classshark_1_1_abstract_model.html#a76a2d024b6013037b072596fe4f9f829a82b5c22e1b95f20aff01b4b39e86c607">  108</a></span>        <a class="code hl_enumvalue" href="classshark_1_1_abstract_model.html#a76a2d024b6013037b072596fe4f9f829a82b5c22e1b95f20aff01b4b39e86c607">HAS_FIRST_INPUT_DERIVATIVE</a>      = 4,</div>
<div class="line"><a id="l00109" name="l00109"></a><span class="lineno">  109</span>    };</div>
</div>
<div class="line"><a id="l00110" name="l00110"></a><span class="lineno"><a class="line" href="classshark_1_1_abstract_model.html#a48785f538572a695c46b9eec7a4a00f3">  110</a></span>    <a class="code hl_define" href="_flags_8h.html#a3c3e2d17f85cf4a10ea888742a4b95a3">SHARK_FEATURE_INTERFACE</a>;</div>
<div class="line"><a id="l00111" name="l00111"></a><span class="lineno">  111</span><span class="comment"></span> </div>
<div class="line"><a id="l00112" name="l00112"></a><span class="lineno">  112</span><span class="comment">    /// \brief Returns true when the first parameter derivative is implemented.</span></div>
<div class="foldopen" id="foldopen00113" data-start="{" data-end="}">
<div class="line"><a id="l00113" name="l00113"></a><span class="lineno"><a class="line" href="classshark_1_1_abstract_model.html#ae04810c1ae40f816872eba4ef3953e36">  113</a></span><span class="comment"></span>    <span class="keywordtype">bool</span> <a class="code hl_function" href="classshark_1_1_abstract_model.html#ae04810c1ae40f816872eba4ef3953e36" title="Returns true when the first parameter derivative is implemented.">hasFirstParameterDerivative</a>()<span class="keyword">const</span>{</div>
<div class="line"><a id="l00114" name="l00114"></a><span class="lineno">  114</span>        <span class="keywordflow">return</span> <a class="code hl_variable" href="classshark_1_1_abstract_model.html#a4c5a689901083e50007f53de72f694fc">m_features</a> &amp; <a class="code hl_enumvalue" href="classshark_1_1_abstract_model.html#a76a2d024b6013037b072596fe4f9f829a89a819e2614f818baa23c5c8fdd4393d">HAS_FIRST_PARAMETER_DERIVATIVE</a>;</div>
<div class="line"><a id="l00115" name="l00115"></a><span class="lineno">  115</span>    }<span class="comment"></span></div>
</div>
<div class="line"><a id="l00116" name="l00116"></a><span class="lineno">  116</span><span class="comment">    /// \brief Returns true when the first input derivative is implemented.</span></div>
<div class="foldopen" id="foldopen00117" data-start="{" data-end="}">
<div class="line"><a id="l00117" name="l00117"></a><span class="lineno"><a class="line" href="classshark_1_1_abstract_model.html#a1092b50b56555e8f2e8b4d4aa57eb3c3">  117</a></span><span class="comment"></span>    <span class="keywordtype">bool</span> <a class="code hl_function" href="classshark_1_1_abstract_model.html#a1092b50b56555e8f2e8b4d4aa57eb3c3" title="Returns true when the first input derivative is implemented.">hasFirstInputDerivative</a>()<span class="keyword">const</span>{</div>
<div class="line"><a id="l00118" name="l00118"></a><span class="lineno">  118</span>        <span class="keywordflow">return</span> <a class="code hl_variable" href="classshark_1_1_abstract_model.html#a4c5a689901083e50007f53de72f694fc">m_features</a> &amp; <a class="code hl_enumvalue" href="classshark_1_1_abstract_model.html#a76a2d024b6013037b072596fe4f9f829a82b5c22e1b95f20aff01b4b39e86c607">HAS_FIRST_INPUT_DERIVATIVE</a>;</div>
<div class="line"><a id="l00119" name="l00119"></a><span class="lineno">  119</span>    }</div>
</div>
<div class="line"><a id="l00120" name="l00120"></a><span class="lineno">  120</span>    <span class="comment"></span></div>
<div class="line"><a id="l00121" name="l00121"></a><span class="lineno">  121</span><span class="comment">    ///\brief Returns the expected shape of the input.</span></div>
<div class="line"><a id="l00122" name="l00122"></a><span class="lineno"><a class="line" href="classshark_1_1_abstract_model.html#a56391736859ddea5d1011d2248431b47">  122</a></span><span class="comment"></span>    <span class="keyword">virtual</span> <a class="code hl_class" href="classshark_1_1_shape.html" title="Represents the Shape of an input or output.">Shape</a> <a class="code hl_function" href="classshark_1_1_abstract_model.html#a56391736859ddea5d1011d2248431b47" title="Returns the expected shape of the input.">inputShape</a>() <span class="keyword">const</span> = 0;<span class="comment"></span></div>
<div class="line"><a id="l00123" name="l00123"></a><span class="lineno">  123</span><span class="comment">    ///\brief Returns the shape of the output.</span></div>
<div class="line"><a id="l00124" name="l00124"></a><span class="lineno"><a class="line" href="classshark_1_1_abstract_model.html#a54b8655a750489902560a5eb32ba5b4b">  124</a></span><span class="comment"></span>    <span class="keyword">virtual</span> <a class="code hl_class" href="classshark_1_1_shape.html" title="Represents the Shape of an input or output.">Shape</a> <a class="code hl_function" href="classshark_1_1_abstract_model.html#a54b8655a750489902560a5eb32ba5b4b" title="Returns the shape of the output.">outputShape</a>() <span class="keyword">const</span> = 0;</div>
<div class="line"><a id="l00125" name="l00125"></a><span class="lineno">  125</span>    <span class="comment"></span></div>
<div class="line"><a id="l00126" name="l00126"></a><span class="lineno">  126</span><span class="comment">    ///\brief Creates an internal state of the model.</span></div>
<div class="line"><a id="l00127" name="l00127"></a><span class="lineno">  127</span><span class="comment">    ///</span></div>
<div class="line"><a id="l00128" name="l00128"></a><span class="lineno">  128</span><span class="comment">    ///The state is needed when the derivatives are to be</span></div>
<div class="line"><a id="l00129" name="l00129"></a><span class="lineno">  129</span><span class="comment">    ///calculated. Eval can store a state which is then reused to speed up</span></div>
<div class="line"><a id="l00130" name="l00130"></a><span class="lineno">  130</span><span class="comment">    ///the calculations of the derivatives. This also allows eval to be</span></div>
<div class="line"><a id="l00131" name="l00131"></a><span class="lineno">  131</span><span class="comment">    ///evaluated in parallel!</span></div>
<div class="foldopen" id="foldopen00132" data-start="{" data-end="}">
<div class="line"><a id="l00132" name="l00132"></a><span class="lineno"><a class="line" href="classshark_1_1_abstract_model.html#a47d80a74ce80e5dd5e2851c52738b86b">  132</a></span><span class="comment"></span>    <span class="keyword">virtual</span> boost::shared_ptr&lt;State&gt; <a class="code hl_function" href="classshark_1_1_abstract_model.html#a47d80a74ce80e5dd5e2851c52738b86b" title="Creates an internal state of the model.">createState</a>()<span class="keyword"> const</span></div>
<div class="line"><a id="l00133" name="l00133"></a><span class="lineno">  133</span><span class="keyword">    </span>{</div>
<div class="line"><a id="l00134" name="l00134"></a><span class="lineno">  134</span>        <span class="keywordflow">if</span> (<a class="code hl_function" href="classshark_1_1_abstract_model.html#ae04810c1ae40f816872eba4ef3953e36" title="Returns true when the first parameter derivative is implemented.">hasFirstParameterDerivative</a>()</div>
<div class="line"><a id="l00135" name="l00135"></a><span class="lineno">  135</span>        || <a class="code hl_function" href="classshark_1_1_abstract_model.html#a1092b50b56555e8f2e8b4d4aa57eb3c3" title="Returns true when the first input derivative is implemented.">hasFirstInputDerivative</a>())</div>
<div class="line"><a id="l00136" name="l00136"></a><span class="lineno">  136</span>        {</div>
<div class="line"><a id="l00137" name="l00137"></a><span class="lineno">  137</span>            <span class="keywordflow">throw</span> <a class="code hl_define" href="_exception_8h.html#a4e03d7dfdfe8cbc90447fa829fc09e4f">SHARKEXCEPTION</a>(<span class="stringliteral">&quot;[AbstractModel::createState] createState must be overridden by models with derivatives&quot;</span>);</div>
<div class="line"><a id="l00138" name="l00138"></a><span class="lineno">  138</span>        }</div>
<div class="line"><a id="l00139" name="l00139"></a><span class="lineno">  139</span>        <span class="keywordflow">return</span> boost::shared_ptr&lt;State&gt;(<span class="keyword">new</span> <a class="code hl_struct" href="structshark_1_1_empty_state.html" title="Default State of an Object which does not need a State.">EmptyState</a>());</div>
<div class="line"><a id="l00140" name="l00140"></a><span class="lineno">  140</span>    }</div>
</div>
<div class="line"><a id="l00141" name="l00141"></a><span class="lineno">  141</span><span class="comment"></span> </div>
<div class="line"><a id="l00142" name="l00142"></a><span class="lineno">  142</span><span class="comment">    /// \brief From ISerializable, reads a model from an archive.</span></div>
<div class="foldopen" id="foldopen00143" data-start="{" data-end="}">
<div class="line"><a id="l00143" name="l00143"></a><span class="lineno"><a class="line" href="classshark_1_1_abstract_model.html#a11203dd6f50218e4c341a5d24ff5d543">  143</a></span><span class="comment"></span>    <span class="keyword">virtual</span> <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_abstract_model.html#a11203dd6f50218e4c341a5d24ff5d543" title="From ISerializable, reads a model from an archive.">read</a>( <a class="code hl_typedef" href="namespaceshark.html#ada68729491840669e47c8ad42282424f" title="Type of an archive to read from.">InArchive</a> &amp; archive ){</div>
<div class="line"><a id="l00144" name="l00144"></a><span class="lineno">  144</span>        <a class="code hl_variable" href="classshark_1_1_abstract_model.html#a4c5a689901083e50007f53de72f694fc">m_features</a>.<a class="code hl_function" href="classshark_1_1_typed_flags.html#a93b8873116122847eddc92a3f975cc06" title="Read the component from the supplied archive.">read</a>(archive);</div>
<div class="line"><a id="l00145" name="l00145"></a><span class="lineno">  145</span>        <a class="code hl_typedef" href="classshark_1_1_i_parameterizable.html#a2ad5e2e60b2b352988b41f46024d790b">ParameterVectorType</a> p;</div>
<div class="line"><a id="l00146" name="l00146"></a><span class="lineno">  146</span>        archive &amp; p;</div>
<div class="line"><a id="l00147" name="l00147"></a><span class="lineno">  147</span>        this-&gt;<a class="code hl_function" href="classshark_1_1_i_parameterizable.html#ad5e35d1a10ff36fa72ea787baa40e9ad" title="Set the parameter vector.">setParameterVector</a>(p);</div>
<div class="line"><a id="l00148" name="l00148"></a><span class="lineno">  148</span>    }</div>
</div>
<div class="line"><a id="l00149" name="l00149"></a><span class="lineno">  149</span><span class="comment"></span> </div>
<div class="line"><a id="l00150" name="l00150"></a><span class="lineno">  150</span><span class="comment">    /// \brief writes a model to an archive</span></div>
<div class="line"><a id="l00151" name="l00151"></a><span class="lineno">  151</span><span class="comment">    ///</span></div>
<div class="line"><a id="l00152" name="l00152"></a><span class="lineno">  152</span><span class="comment">    /// the default implementation just saves the parameters, not the structure!</span></div>
<div class="foldopen" id="foldopen00153" data-start="{" data-end="}">
<div class="line"><a id="l00153" name="l00153"></a><span class="lineno"><a class="line" href="classshark_1_1_abstract_model.html#a7d3f3d4d781954dc43d6cd445a5b56b4">  153</a></span><span class="comment"></span>    <span class="keyword">virtual</span> <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_abstract_model.html#a7d3f3d4d781954dc43d6cd445a5b56b4" title="writes a model to an archive">write</a>( <a class="code hl_typedef" href="namespaceshark.html#af4f8eb8e9618f5236b71bbcb12b8a524" title="Type of an archive to write to.">OutArchive</a> &amp; archive )<span class="keyword"> const</span>{</div>
<div class="line"><a id="l00154" name="l00154"></a><span class="lineno">  154</span>        <a class="code hl_variable" href="classshark_1_1_abstract_model.html#a4c5a689901083e50007f53de72f694fc">m_features</a>.<a class="code hl_function" href="classshark_1_1_typed_flags.html#a0192569646b37c50d59adc630a317469" title="Write the component to the supplied archive.">write</a>(archive);</div>
<div class="line"><a id="l00155" name="l00155"></a><span class="lineno">  155</span>        <a class="code hl_typedef" href="classshark_1_1_i_parameterizable.html#a2ad5e2e60b2b352988b41f46024d790b">ParameterVectorType</a> p = this-&gt;<a class="code hl_function" href="classshark_1_1_i_parameterizable.html#afaa2ba692ab64a0edbff60d7ee6794db" title="Return the parameter vector.">parameterVector</a>();</div>
<div class="line"><a id="l00156" name="l00156"></a><span class="lineno">  156</span>        archive &amp; p;</div>
<div class="line"><a id="l00157" name="l00157"></a><span class="lineno">  157</span>    }</div>
</div>
<div class="line"><a id="l00158" name="l00158"></a><span class="lineno">  158</span><span class="comment"></span> </div>
<div class="line"><a id="l00159" name="l00159"></a><span class="lineno">  159</span><span class="comment">    /// \brief  Standard interface for evaluating the response of the model to a batch of patterns.</span></div>
<div class="line"><a id="l00160" name="l00160"></a><span class="lineno">  160</span><span class="comment">    ///</span></div>
<div class="line"><a id="l00161" name="l00161"></a><span class="lineno">  161</span><span class="comment">    /// \param patterns the inputs of the model</span></div>
<div class="line"><a id="l00162" name="l00162"></a><span class="lineno">  162</span><span class="comment">    /// \param outputs the predictions or response of the model to every pattern</span></div>
<div class="foldopen" id="foldopen00163" data-start="{" data-end="}">
<div class="line"><a id="l00163" name="l00163"></a><span class="lineno"><a class="line" href="classshark_1_1_abstract_model.html#ac7edef74da55322b6aef0ba65b08592d">  163</a></span><span class="comment"></span>    <span class="keyword">virtual</span> <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_abstract_model.html#ac7edef74da55322b6aef0ba65b08592d" title="Standard interface for evaluating the response of the model to a batch of patterns.">eval</a>(<a class="code hl_typedef" href="classshark_1_1_abstract_model.html#a518304e95092673b7b6438cace052ef6" title="defines the batch type of the input type.">BatchInputType</a> <span class="keyword">const</span> &amp; patterns, <a class="code hl_typedef" href="classshark_1_1_abstract_model.html#aa0c72e230b9a1324c95ba8ac0b07ba13" title="defines the batch type of the output type">BatchOutputType</a>&amp; outputs)<span class="keyword"> const</span>{</div>
<div class="line"><a id="l00164" name="l00164"></a><span class="lineno">  164</span>        boost::shared_ptr&lt;State&gt; state = <a class="code hl_function" href="classshark_1_1_abstract_model.html#a47d80a74ce80e5dd5e2851c52738b86b" title="Creates an internal state of the model.">createState</a>();</div>
<div class="line"><a id="l00165" name="l00165"></a><span class="lineno">  165</span>        <a class="code hl_function" href="classshark_1_1_abstract_model.html#ac7edef74da55322b6aef0ba65b08592d" title="Standard interface for evaluating the response of the model to a batch of patterns.">eval</a>(patterns,outputs,*state);</div>
<div class="line"><a id="l00166" name="l00166"></a><span class="lineno">  166</span>    }</div>
</div>
<div class="line"><a id="l00167" name="l00167"></a><span class="lineno">  167</span>    <span class="comment"></span></div>
<div class="line"><a id="l00168" name="l00168"></a><span class="lineno">  168</span><span class="comment">    /// \brief  Standard interface for evaluating the response of the model to a batch of patterns.</span></div>
<div class="line"><a id="l00169" name="l00169"></a><span class="lineno">  169</span><span class="comment">    ///</span></div>
<div class="line"><a id="l00170" name="l00170"></a><span class="lineno">  170</span><span class="comment">    /// \param patterns the inputs of the model</span></div>
<div class="line"><a id="l00171" name="l00171"></a><span class="lineno">  171</span><span class="comment">    /// \param outputs the predictions or response of the model to every pattern</span></div>
<div class="line"><a id="l00172" name="l00172"></a><span class="lineno">  172</span><span class="comment">    /// \param state intermediate results stored by eval which can be reused for derivative computation.</span></div>
<div class="line"><a id="l00173" name="l00173"></a><span class="lineno"><a class="line" href="classshark_1_1_abstract_model.html#af6b99ab56d362609a144764922b4bd7b">  173</a></span><span class="comment"></span>    <span class="keyword">virtual</span> <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_abstract_model.html#af6b99ab56d362609a144764922b4bd7b" title="Standard interface for evaluating the response of the model to a batch of patterns.">eval</a>(<a class="code hl_typedef" href="classshark_1_1_abstract_model.html#a518304e95092673b7b6438cace052ef6" title="defines the batch type of the input type.">BatchInputType</a> <span class="keyword">const</span> &amp; patterns, <a class="code hl_typedef" href="classshark_1_1_abstract_model.html#aa0c72e230b9a1324c95ba8ac0b07ba13" title="defines the batch type of the output type">BatchOutputType</a>&amp; outputs, <a class="code hl_struct" href="structshark_1_1_state.html" title="Represents the State of an Object.">State</a>&amp; state) <span class="keyword">const</span> = 0;</div>
<div class="line"><a id="l00174" name="l00174"></a><span class="lineno">  174</span><span class="comment"></span> </div>
<div class="line"><a id="l00175" name="l00175"></a><span class="lineno">  175</span><span class="comment">    /// \brief  Standard interface for evaluating the response of the model to a single pattern.</span></div>
<div class="line"><a id="l00176" name="l00176"></a><span class="lineno">  176</span><span class="comment">    ///</span></div>
<div class="line"><a id="l00177" name="l00177"></a><span class="lineno">  177</span><span class="comment">    /// \param pattern the input of the model</span></div>
<div class="line"><a id="l00178" name="l00178"></a><span class="lineno">  178</span><span class="comment">    /// \param output the prediction or response of the model to the pattern</span></div>
<div class="foldopen" id="foldopen00179" data-start="{" data-end="}">
<div class="line"><a id="l00179" name="l00179"></a><span class="lineno"><a class="line" href="classshark_1_1_abstract_model.html#a3a331290a6cb2840663d2178899366c8">  179</a></span><span class="comment"></span>    <span class="keyword">virtual</span> <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_abstract_model.html#a3a331290a6cb2840663d2178899366c8" title="Standard interface for evaluating the response of the model to a single pattern.">eval</a>(<a class="code hl_typedef" href="classshark_1_1_abstract_model.html#a714e85d7a6cd2b68898cb5dbb25c37d4" title="Defines the input type of the model.">InputType</a> <span class="keyword">const</span> &amp; pattern, <a class="code hl_typedef" href="classshark_1_1_abstract_model.html#a8e5acf043e3a76b50d15a852365801b4" title="Defines the output type of the model.">OutputType</a>&amp; output)<span class="keyword">const</span>{</div>
<div class="line"><a id="l00180" name="l00180"></a><span class="lineno">  180</span>        <a class="code hl_typedef" href="classshark_1_1_abstract_model.html#a518304e95092673b7b6438cace052ef6" title="defines the batch type of the input type.">BatchInputType</a> patternBatch=<a class="code hl_struct" href="structshark_1_1_batch.html" title="class which helps using different batch types">Batch&lt;InputType&gt;::createBatch</a>(pattern);</div>
<div class="line"><a id="l00181" name="l00181"></a><span class="lineno">  181</span>        <a class="code hl_function" href="namespaceshark.html#a1531880b9b4076854b0b26441d353242">getBatchElement</a>(patternBatch,0) = pattern;</div>
<div class="line"><a id="l00182" name="l00182"></a><span class="lineno">  182</span>        <a class="code hl_typedef" href="classshark_1_1_abstract_model.html#aa0c72e230b9a1324c95ba8ac0b07ba13" title="defines the batch type of the output type">BatchOutputType</a> outputBatch;</div>
<div class="line"><a id="l00183" name="l00183"></a><span class="lineno">  183</span>        <a class="code hl_function" href="classshark_1_1_abstract_model.html#ac7edef74da55322b6aef0ba65b08592d" title="Standard interface for evaluating the response of the model to a batch of patterns.">eval</a>(patternBatch,outputBatch);</div>
<div class="line"><a id="l00184" name="l00184"></a><span class="lineno">  184</span>        output = <a class="code hl_function" href="namespaceshark.html#a1531880b9b4076854b0b26441d353242">getBatchElement</a>(outputBatch,0);</div>
<div class="line"><a id="l00185" name="l00185"></a><span class="lineno">  185</span>    }</div>
</div>
<div class="line"><a id="l00186" name="l00186"></a><span class="lineno">  186</span><span class="comment"></span> </div>
<div class="line"><a id="l00187" name="l00187"></a><span class="lineno">  187</span><span class="comment">    /// \brief Model evaluation as an operator for a whole dataset. This is a convenience function</span></div>
<div class="line"><a id="l00188" name="l00188"></a><span class="lineno">  188</span><span class="comment">    ///</span></div>
<div class="line"><a id="l00189" name="l00189"></a><span class="lineno">  189</span><span class="comment">    /// \param patterns the input of the model</span></div>
<div class="foldopen" id="foldopen00190" data-start="{" data-end="}">
<div class="line"><a id="l00190" name="l00190"></a><span class="lineno"><a class="line" href="classshark_1_1_linear_model.html#ac7edef74da55322b6aef0ba65b08592d">  190</a></span><span class="comment">    /// \returns the responses of the model</span></div>
<div class="foldopen" id="foldopen00191" data-start="{" data-end="}">
<div class="line"><a id="l00191" name="l00191"></a><span class="lineno"><a class="line" href="classshark_1_1_abstract_model.html#a0b69168617355ebbd470caf2393a541f">  191</a></span><span class="comment"></span>    <a class="code hl_class" href="classshark_1_1_data.html" title="Data container.">Data&lt;OutputType&gt;</a> <a class="code hl_function" href="classshark_1_1_abstract_model.html#a0b69168617355ebbd470caf2393a541f" title="Model evaluation as an operator for a whole dataset. This is a convenience function.">operator()</a>(<a class="code hl_class" href="classshark_1_1_data.html" title="Data container.">Data&lt;InputType&gt;</a> <span class="keyword">const</span>&amp; patterns)<span class="keyword">const</span>{</div>
<div class="line"><a id="l00192" name="l00192"></a><span class="lineno">  192</span>        <span class="keywordflow">return</span> <a class="code hl_function" href="group__shark__globals.html#gab87e0d38b9fbf74d9a97ee02e8ab273b" title="Transforms a dataset using a Functor f and returns the transformed result.">transform</a>(patterns,*<span class="keyword">this</span>);</div>
<div class="line"><a id="l00193" name="l00193"></a><span class="lineno">  193</span>    }</div>
</div>
<div class="line"><a id="l00194" name="l00194"></a><span class="lineno">  194</span><span class="comment"></span> </div>
<div class="line"><a id="l00195" name="l00195"></a><span class="lineno">  195</span><span class="comment">    /// \brief Model evaluation as an operator for a single pattern. This is a convenience function</span></div>
<div class="line"><a id="l00196" name="l00196"></a><span class="lineno">  196</span><span class="comment">    ///</span></div>
<div class="line"><a id="l00197" name="l00197"></a><span class="lineno">  197</span><span class="comment">    /// \param pattern the input of the model</span></div>
<div class="line"><a id="l00198" name="l00198"></a><span class="lineno">  198</span><span class="comment">    /// \returns the response of the model</span></div>
<div class="foldopen" id="foldopen00199" data-start="{" data-end="}">
<div class="line"><a id="l00199" name="l00199"></a><span class="lineno"><a class="line" href="classshark_1_1_abstract_model.html#a78b0b0517a53c93013b9372292f73a78">  199</a></span><span class="comment"></span>    <a class="code hl_typedef" href="classshark_1_1_abstract_model.html#a8e5acf043e3a76b50d15a852365801b4" title="Defines the output type of the model.">OutputType</a> <a class="code hl_function" href="classshark_1_1_abstract_model.html#a78b0b0517a53c93013b9372292f73a78" title="Model evaluation as an operator for a single pattern. This is a convenience function.">operator()</a>(<a class="code hl_typedef" href="classshark_1_1_abstract_model.html#a714e85d7a6cd2b68898cb5dbb25c37d4" title="Defines the input type of the model.">InputType</a> <span class="keyword">const</span> &amp; pattern)<span class="keyword">const</span>{</div>
<div class="line"><a id="l00200" name="l00200"></a><span class="lineno">  200</span>        <a class="code hl_typedef" href="classshark_1_1_abstract_model.html#a8e5acf043e3a76b50d15a852365801b4" title="Defines the output type of the model.">OutputType</a> output;</div>
<div class="line"><a id="l00201" name="l00201"></a><span class="lineno">  201</span>        <a class="code hl_function" href="classshark_1_1_abstract_model.html#ac7edef74da55322b6aef0ba65b08592d" title="Standard interface for evaluating the response of the model to a batch of patterns.">eval</a>(pattern,output);</div>
<div class="line"><a id="l00202" name="l00202"></a><span class="lineno">  202</span>        <span class="keywordflow">return</span> output;</div>
<div class="line"><a id="l00203" name="l00203"></a><span class="lineno">  203</span>    }</div>
</div>
<div class="line"><a id="l00204" name="l00204"></a><span class="lineno">  204</span><span class="comment"></span> </div>
<div class="line"><a id="l00205" name="l00205"></a><span class="lineno">  205</span><span class="comment">    /// \brief Model evaluation as an operator for a single pattern. This is a convenience function</span></div>
<div class="line"><a id="l00206" name="l00206"></a><span class="lineno">  206</span><span class="comment">    ///</span></div>
<div class="line"><a id="l00207" name="l00207"></a><span class="lineno">  207</span><span class="comment">    /// \param patterns the input of the model</span></div>
<div class="line"><a id="l00208" name="l00208"></a><span class="lineno">  208</span><span class="comment">    /// \returns the response of the model</span></div>
<div class="foldopen" id="foldopen00209" data-start="{" data-end="}">
<div class="line"><a id="l00209" name="l00209"></a><span class="lineno"><a class="line" href="classshark_1_1_abstract_model.html#aa10f381b3bd678c82a600c5bc6ac0ec3">  209</a></span><span class="comment"></span>    <a class="code hl_typedef" href="classshark_1_1_abstract_model.html#aa0c72e230b9a1324c95ba8ac0b07ba13" title="defines the batch type of the output type">BatchOutputType</a> <a class="code hl_function" href="classshark_1_1_abstract_model.html#aa10f381b3bd678c82a600c5bc6ac0ec3" title="Model evaluation as an operator for a single pattern. This is a convenience function.">operator()</a>(<a class="code hl_typedef" href="classshark_1_1_abstract_model.html#a518304e95092673b7b6438cace052ef6" title="defines the batch type of the input type.">BatchInputType</a> <span class="keyword">const</span> &amp; patterns)<span class="keyword">const</span>{</div>
<div class="line"><a id="l00210" name="l00210"></a><span class="lineno">  210</span>        <a class="code hl_typedef" href="classshark_1_1_abstract_model.html#aa0c72e230b9a1324c95ba8ac0b07ba13" title="defines the batch type of the output type">BatchOutputType</a> output;</div>
<div class="line"><a id="l00211" name="l00211"></a><span class="lineno">  211</span>        <a class="code hl_function" href="classshark_1_1_abstract_model.html#ac7edef74da55322b6aef0ba65b08592d" title="Standard interface for evaluating the response of the model to a batch of patterns.">eval</a>(patterns,output);</div>
<div class="line"><a id="l00212" name="l00212"></a><span class="lineno">  212</span>        <span class="keywordflow">return</span> output;</div>
<div class="line"><a id="l00213" name="l00213"></a><span class="lineno">  213</span>    }</div>
</div>
<div class="line"><a id="l00214" name="l00214"></a><span class="lineno">  214</span><span class="comment"></span> </div>
<div class="line"><a id="l00215" name="l00215"></a><span class="lineno">  215</span><span class="comment">    /// \brief calculates the weighted sum of derivatives w.r.t the parameters.</span></div>
<div class="line"><a id="l00216" name="l00216"></a><span class="lineno">  216</span><span class="comment">    ///</span></div>
<div class="line"><a id="l00217" name="l00217"></a><span class="lineno">  217</span><span class="comment">    /// \param  pattern       the patterns to evaluate</span></div>
<div class="line"><a id="l00218" name="l00218"></a><span class="lineno">  218</span><span class="comment">    /// \param outputs        the target outputs</span></div>
<div class="line"><a id="l00219" name="l00219"></a><span class="lineno">  219</span><span class="comment">    /// \param  coefficients  the coefficients which are used to calculate the weighted sum for every pattern</span></div>
<div class="line"><a id="l00220" name="l00220"></a><span class="lineno">  220</span><span class="comment">    /// \param  state intermediate results stored by eval to speed up calculations of the derivatives</span></div>
<div class="line"><a id="l00221" name="l00221"></a><span class="lineno">  221</span><span class="comment">    /// \param  derivative    the calculated derivative as sum over all derivates of all patterns</span></div>
<div class="foldopen" id="foldopen00222" data-start="{" data-end="}">
<div class="line"><a id="l00222" name="l00222"></a><span class="lineno"><a class="line" href="classshark_1_1_abstract_model.html#ad699b6b1f813c5cc3b3ed45f254dbc1d">  222</a></span><span class="comment"></span>    <span class="keyword">virtual</span> <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_abstract_model.html#ad699b6b1f813c5cc3b3ed45f254dbc1d" title="calculates the weighted sum of derivatives w.r.t the parameters.">weightedParameterDerivative</a>(</div>
<div class="line"><a id="l00223" name="l00223"></a><span class="lineno">  223</span>        <a class="code hl_typedef" href="classshark_1_1_abstract_model.html#a518304e95092673b7b6438cace052ef6" title="defines the batch type of the input type.">BatchInputType</a> <span class="keyword">const</span> &amp; pattern,</div>
<div class="line"><a id="l00224" name="l00224"></a><span class="lineno">  224</span>        <a class="code hl_typedef" href="classshark_1_1_abstract_model.html#aa0c72e230b9a1324c95ba8ac0b07ba13" title="defines the batch type of the output type">BatchOutputType</a> <span class="keyword">const</span>&amp; outputs,</div>
<div class="line"><a id="l00225" name="l00225"></a><span class="lineno">  225</span>        <a class="code hl_typedef" href="classshark_1_1_abstract_model.html#aa0c72e230b9a1324c95ba8ac0b07ba13" title="defines the batch type of the output type">BatchOutputType</a> <span class="keyword">const</span> &amp; coefficients,</div>
<div class="line"><a id="l00226" name="l00226"></a><span class="lineno">  226</span>        <a class="code hl_struct" href="structshark_1_1_state.html" title="Represents the State of an Object.">State</a> <span class="keyword">const</span>&amp; state,</div>
<div class="line"><a id="l00227" name="l00227"></a><span class="lineno">  227</span>        <a class="code hl_typedef" href="classshark_1_1_i_parameterizable.html#a2ad5e2e60b2b352988b41f46024d790b">ParameterVectorType</a>&amp; derivative</div>
<div class="line"><a id="l00228" name="l00228"></a><span class="lineno">  228</span>    )<span class="keyword">const</span>{</div>
<div class="line"><a id="l00229" name="l00229"></a><span class="lineno">  229</span>        <a class="code hl_define" href="_flags_8h.html#a6e41326253dee198183b5cbde3570c6c">SHARK_FEATURE_EXCEPTION</a>(<a class="code hl_enumvalue" href="classshark_1_1_abstract_model.html#a76a2d024b6013037b072596fe4f9f829a89a819e2614f818baa23c5c8fdd4393d">HAS_FIRST_PARAMETER_DERIVATIVE</a>);</div>
<div class="line"><a id="l00230" name="l00230"></a><span class="lineno">  230</span>    }</div>
</div>
<div class="line"><a id="l00231" name="l00231"></a><span class="lineno">  231</span><span class="comment"></span> </div>
<div class="line"><a id="l00232" name="l00232"></a><span class="lineno">  232</span><span class="comment">    ///\brief calculates the weighted sum of derivatives w.r.t the inputs</span></div>
<div class="line"><a id="l00233" name="l00233"></a><span class="lineno">  233</span><span class="comment">    ///</span></div>
<div class="line"><a id="l00234" name="l00234"></a><span class="lineno">  234</span><span class="comment">    /// \param  pattern       the patterns to evaluate</span></div>
<div class="line"><a id="l00235" name="l00235"></a><span class="lineno">  235</span><span class="comment">    /// \param outputs        the target outputs</span></div>
<div class="line"><a id="l00236" name="l00236"></a><span class="lineno">  236</span><span class="comment">    /// \param  coefficients  the coefficients which are used to calculate the weighted sum for every pattern</span></div>
<div class="line"><a id="l00237" name="l00237"></a><span class="lineno">  237</span><span class="comment">    /// \param state intermediate results stored by eval to sped up calculations of the derivatives</span></div>
<div class="line"><a id="l00238" name="l00238"></a><span class="lineno">  238</span><span class="comment">    /// \param  derivative    the calculated derivative for every pattern</span></div>
<div class="foldopen" id="foldopen00239" data-start="{" data-end="}">
<div class="line"><a id="l00239" name="l00239"></a><span class="lineno"><a class="line" href="classshark_1_1_abstract_model.html#a3c192dedb474c5a8e39b1f46d99f94cc">  239</a></span><span class="comment"></span>    <span class="keyword">virtual</span> <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_abstract_model.html#a3c192dedb474c5a8e39b1f46d99f94cc" title="calculates the weighted sum of derivatives w.r.t the inputs">weightedInputDerivative</a>(</div>
<div class="line"><a id="l00240" name="l00240"></a><span class="lineno">  240</span>        <a class="code hl_typedef" href="classshark_1_1_abstract_model.html#a518304e95092673b7b6438cace052ef6" title="defines the batch type of the input type.">BatchInputType</a> <span class="keyword">const</span> &amp; pattern,</div>
<div class="line"><a id="l00241" name="l00241"></a><span class="lineno">  241</span>        <a class="code hl_typedef" href="classshark_1_1_abstract_model.html#aa0c72e230b9a1324c95ba8ac0b07ba13" title="defines the batch type of the output type">BatchOutputType</a> <span class="keyword">const</span>&amp; outputs,</div>
<div class="line"><a id="l00242" name="l00242"></a><span class="lineno">  242</span>        <a class="code hl_typedef" href="classshark_1_1_abstract_model.html#aa0c72e230b9a1324c95ba8ac0b07ba13" title="defines the batch type of the output type">BatchOutputType</a> <span class="keyword">const</span> &amp; coefficients,</div>
<div class="line"><a id="l00243" name="l00243"></a><span class="lineno">  243</span>        <a class="code hl_struct" href="structshark_1_1_state.html" title="Represents the State of an Object.">State</a> <span class="keyword">const</span>&amp; state,</div>
<div class="line"><a id="l00244" name="l00244"></a><span class="lineno">  244</span>        <a class="code hl_typedef" href="classshark_1_1_abstract_model.html#a518304e95092673b7b6438cace052ef6" title="defines the batch type of the input type.">BatchInputType</a>&amp; derivative</div>
<div class="line"><a id="l00245" name="l00245"></a><span class="lineno">  245</span>    )<span class="keyword">const</span>{</div>
<div class="line"><a id="l00246" name="l00246"></a><span class="lineno">  246</span>        <a class="code hl_define" href="_flags_8h.html#a6e41326253dee198183b5cbde3570c6c">SHARK_FEATURE_EXCEPTION</a>(<a class="code hl_enumvalue" href="classshark_1_1_abstract_model.html#a76a2d024b6013037b072596fe4f9f829a82b5c22e1b95f20aff01b4b39e86c607">HAS_FIRST_INPUT_DERIVATIVE</a>);</div>
<div class="line"><a id="l00247" name="l00247"></a><span class="lineno">  247</span>    }</div>
</div>
<div class="line"><a id="l00248" name="l00248"></a><span class="lineno">  248</span><span class="comment"></span> </div>
<div class="line"><a id="l00249" name="l00249"></a><span class="lineno">  249</span><span class="comment">    ///\brief calculates weighted input and parameter derivative at the same time</span></div>
<div class="line"><a id="l00250" name="l00250"></a><span class="lineno">  250</span><span class="comment">    ///</span></div>
<div class="line"><a id="l00251" name="l00251"></a><span class="lineno">  251</span><span class="comment">    /// Sometimes, both derivatives are needed at the same time. But sometimes, when calculating the</span></div>
<div class="line"><a id="l00252" name="l00252"></a><span class="lineno">  252</span><span class="comment">    /// weighted parameter derivative, the input derivative can be calculated for free. This is for example true for</span></div>
<div class="line"><a id="l00253" name="l00253"></a><span class="lineno">  253</span><span class="comment">    /// the feed-forward neural networks. However, there exists the obvious default implementation that just calculates</span></div>
<div class="line"><a id="l00254" name="l00254"></a><span class="lineno">  254</span><span class="comment">    /// the derivatives one after another.</span></div>
<div class="line"><a id="l00255" name="l00255"></a><span class="lineno">  255</span><span class="comment">    /// \param patterns       the patterns to evaluate</span></div>
<div class="line"><a id="l00256" name="l00256"></a><span class="lineno">  256</span><span class="comment">    /// \param outputs        the target outputs</span></div>
<div class="line"><a id="l00257" name="l00257"></a><span class="lineno">  257</span><span class="comment">    /// \param coefficients  the coefficients which are used to calculate the weighted sum</span></div>
<div class="line"><a id="l00258" name="l00258"></a><span class="lineno">  258</span><span class="comment">    /// \param state intermediate results stored by eval to sped up calculations of the derivatives</span></div>
<div class="line"><a id="l00259" name="l00259"></a><span class="lineno">  259</span><span class="comment">    /// \param parameterDerivative  the calculated parameter derivative as sum over all derivates of all patterns</span></div>
<div class="line"><a id="l00260" name="l00260"></a><span class="lineno">  260</span><span class="comment">    /// \param inputDerivative    the calculated derivative for every pattern</span></div>
<div class="foldopen" id="foldopen00261" data-start="{" data-end="}">
<div class="line"><a id="l00261" name="l00261"></a><span class="lineno"><a class="line" href="classshark_1_1_abstract_model.html#adb4966b597013417b5e9957c84485c8c">  261</a></span><span class="comment"></span>    <span class="keyword">virtual</span> <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_abstract_model.html#adb4966b597013417b5e9957c84485c8c" title="calculates weighted input and parameter derivative at the same time">weightedDerivatives</a>(</div>
<div class="line"><a id="l00262" name="l00262"></a><span class="lineno">  262</span>        <a class="code hl_typedef" href="classshark_1_1_abstract_model.html#a518304e95092673b7b6438cace052ef6" title="defines the batch type of the input type.">BatchInputType</a> <span class="keyword">const</span> &amp; patterns,</div>
<div class="line"><a id="l00263" name="l00263"></a><span class="lineno">  263</span>        <a class="code hl_typedef" href="classshark_1_1_abstract_model.html#aa0c72e230b9a1324c95ba8ac0b07ba13" title="defines the batch type of the output type">BatchOutputType</a> <span class="keyword">const</span>&amp; outputs,</div>
<div class="line"><a id="l00264" name="l00264"></a><span class="lineno">  264</span>        <a class="code hl_typedef" href="classshark_1_1_abstract_model.html#aa0c72e230b9a1324c95ba8ac0b07ba13" title="defines the batch type of the output type">BatchOutputType</a> <span class="keyword">const</span> &amp; coefficients,</div>
<div class="line"><a id="l00265" name="l00265"></a><span class="lineno">  265</span>        <a class="code hl_struct" href="structshark_1_1_state.html" title="Represents the State of an Object.">State</a> <span class="keyword">const</span>&amp; state,</div>
<div class="line"><a id="l00266" name="l00266"></a><span class="lineno">  266</span>        <a class="code hl_typedef" href="classshark_1_1_i_parameterizable.html#a2ad5e2e60b2b352988b41f46024d790b">ParameterVectorType</a>&amp; parameterDerivative,</div>
<div class="line"><a id="l00267" name="l00267"></a><span class="lineno">  267</span>        <a class="code hl_typedef" href="classshark_1_1_abstract_model.html#a518304e95092673b7b6438cace052ef6" title="defines the batch type of the input type.">BatchInputType</a>&amp; inputDerivative</div>
<div class="line"><a id="l00268" name="l00268"></a><span class="lineno">  268</span>    )<span class="keyword">const</span>{</div>
<div class="line"><a id="l00269" name="l00269"></a><span class="lineno">  269</span>        <a class="code hl_function" href="classshark_1_1_abstract_model.html#ad699b6b1f813c5cc3b3ed45f254dbc1d" title="calculates the weighted sum of derivatives w.r.t the parameters.">weightedParameterDerivative</a>(patterns, outputs, coefficients,state,parameterDerivative);</div>
<div class="line"><a id="l00270" name="l00270"></a><span class="lineno">  270</span>        <a class="code hl_function" href="classshark_1_1_abstract_model.html#a3c192dedb474c5a8e39b1f46d99f94cc" title="calculates the weighted sum of derivatives w.r.t the inputs">weightedInputDerivative</a>(patterns, outputs, coefficients,state,inputDerivative);</div>
<div class="line"><a id="l00271" name="l00271"></a><span class="lineno">  271</span>    }</div>
</div>
<div class="line"><a id="l00272" name="l00272"></a><span class="lineno">  272</span>};</div>
<div class="line"><a id="l00273" name="l00273"></a><span class="lineno">  273</span> </div>
<div class="line"><a id="l00274" name="l00274"></a><span class="lineno">  274</span><span class="comment"></span> </div>
<div class="line"><a id="l00275" name="l00275"></a><span class="lineno">  275</span><span class="comment">/**</span></div>
<div class="line"><a id="l00276" name="l00276"></a><span class="lineno">  276</span><span class="comment"> * \ingroup shark_globals</span></div>
<div class="line"><a id="l00277" name="l00277"></a><span class="lineno">  277</span><span class="comment"> *</span></div>
<div class="line"><a id="l00278" name="l00278"></a><span class="lineno">  278</span><span class="comment"> * @{</span></div>
<div class="line"><a id="l00279" name="l00279"></a><span class="lineno">  279</span><span class="comment"> */</span></div>
<div class="line"><a id="l00280" name="l00280"></a><span class="lineno">  280</span><span class="comment"></span> </div>
<div class="line"><a id="l00281" name="l00281"></a><span class="lineno">  281</span><span class="comment">/// \brief Initialize model parameters normally distributed.</span></div>
<div class="line"><a id="l00282" name="l00282"></a><span class="lineno">  282</span><span class="comment">///</span></div>
<div class="line"><a id="l00283" name="l00283"></a><span class="lineno">  283</span><span class="comment">/// \param model: model to be initialized</span></div>
<div class="line"><a id="l00284" name="l00284"></a><span class="lineno">  284</span><span class="comment">/// \param s: variance of mean-free normal distribution</span></div>
<div class="line"><a id="l00285" name="l00285"></a><span class="lineno">  285</span><span class="comment"></span><span class="keyword">template</span> &lt;<span class="keyword">class</span> InputType, <span class="keyword">class</span> OutputType, <span class="keyword">class</span> ParameterVectorType&gt;</div>
<div class="foldopen" id="foldopen00286" data-start="{" data-end="}">
<div class="line"><a id="l00286" name="l00286"></a><span class="lineno"><a class="line" href="group__shark__globals.html#gaa595fd92ec7d8eebcffd070131b18560">  286</a></span><span class="keywordtype">void</span> <a class="code hl_function" href="group__shark__globals.html#gaa595fd92ec7d8eebcffd070131b18560" title="Initialize model parameters normally distributed.">initRandomNormal</a>(<a class="code hl_class" href="classshark_1_1_abstract_model.html" title="Base class for all Models.">AbstractModel&lt;InputType, OutputType, ParameterVectorType&gt;</a>&amp; model, <span class="keywordtype">double</span> s){</div>
<div class="line"><a id="l00287" name="l00287"></a><span class="lineno">  287</span>    <span class="keyword">typedef</span> <span class="keyword">typename</span> ParameterVectorType::value_type Float;</div>
<div class="line"><a id="l00288" name="l00288"></a><span class="lineno">  288</span>    <span class="keyword">typedef</span> <span class="keyword">typename</span> ParameterVectorType::device_type Device;</div>
<div class="line"><a id="l00289" name="l00289"></a><span class="lineno">  289</span>    <span class="keyword">auto</span> weights = blas::normal(<a class="code hl_variable" href="namespaceshark_1_1random.html#ab5c1547eee483974d008d43f621a2234">random::globalRng</a>, model.<a class="code hl_function" href="classshark_1_1_i_parameterizable.html#aed1e8d1d4dbde387e2f6a25141ed3a20" title="Return the number of parameters.">numberOfParameters</a>(), Float(0), Float(s), Device() );</div>
<div class="line"><a id="l00290" name="l00290"></a><span class="lineno">  290</span>    model.<a class="code hl_function" href="classshark_1_1_i_parameterizable.html#ad5e35d1a10ff36fa72ea787baa40e9ad" title="Set the parameter vector.">setParameterVector</a>(weights);</div>
<div class="line"><a id="l00291" name="l00291"></a><span class="lineno">  291</span>}</div>
</div>
<div class="line"><a id="l00292" name="l00292"></a><span class="lineno">  292</span> </div>
<div class="line"><a id="l00293" name="l00293"></a><span class="lineno">  293</span><span class="comment"></span> </div>
<div class="line"><a id="l00294" name="l00294"></a><span class="lineno">  294</span><span class="comment">/// \brief Initialize model parameters uniformly at random.</span></div>
<div class="line"><a id="l00295" name="l00295"></a><span class="lineno">  295</span><span class="comment">///</span></div>
<div class="line"><a id="l00296" name="l00296"></a><span class="lineno">  296</span><span class="comment">/// \param model model to be initialized</span></div>
<div class="line"><a id="l00297" name="l00297"></a><span class="lineno">  297</span><span class="comment">/// \param lower lower bound of initialization interval</span></div>
<div class="line"><a id="l00298" name="l00298"></a><span class="lineno">  298</span><span class="comment">/// \param upper upper bound of initialization interval</span></div>
<div class="line"><a id="l00299" name="l00299"></a><span class="lineno">  299</span><span class="comment"></span><span class="keyword">template</span> &lt;<span class="keyword">class</span> InputType, <span class="keyword">class</span> OutputType, <span class="keyword">class</span> ParameterVectorType&gt;</div>
<div class="foldopen" id="foldopen00300" data-start="{" data-end="}">
<div class="line"><a id="l00300" name="l00300"></a><span class="lineno"><a class="line" href="group__shark__globals.html#gaa2a8823f1241e854ba858d79fd3e37a2">  300</a></span><span class="keywordtype">void</span> <a class="code hl_function" href="group__shark__globals.html#gaa2a8823f1241e854ba858d79fd3e37a2" title="Initialize model parameters uniformly at random.">initRandomUniform</a>(<a class="code hl_class" href="classshark_1_1_abstract_model.html" title="Base class for all Models.">AbstractModel&lt;InputType, OutputType, ParameterVectorType&gt;</a>&amp; model, <span class="keywordtype">double</span> lower, <span class="keywordtype">double</span> upper){</div>
<div class="line"><a id="l00301" name="l00301"></a><span class="lineno">  301</span>    <span class="keyword">typedef</span> <span class="keyword">typename</span> ParameterVectorType::value_type Float;</div>
<div class="line"><a id="l00302" name="l00302"></a><span class="lineno">  302</span>    <span class="keyword">typedef</span> <span class="keyword">typename</span> ParameterVectorType::device_type Device;</div>
<div class="line"><a id="l00303" name="l00303"></a><span class="lineno">  303</span>    <span class="keyword">auto</span> weights = blas::uniform(<a class="code hl_variable" href="namespaceshark_1_1random.html#ab5c1547eee483974d008d43f621a2234">random::globalRng</a>, model.<a class="code hl_function" href="classshark_1_1_i_parameterizable.html#aed1e8d1d4dbde387e2f6a25141ed3a20" title="Return the number of parameters.">numberOfParameters</a>(), Float(lower), Float(upper), Device() );</div>
<div class="line"><a id="l00304" name="l00304"></a><span class="lineno">  304</span>    model.<a class="code hl_function" href="classshark_1_1_i_parameterizable.html#ad5e35d1a10ff36fa72ea787baa40e9ad" title="Set the parameter vector.">setParameterVector</a>(weights);</div>
<div class="line"><a id="l00305" name="l00305"></a><span class="lineno">  305</span>}</div>
</div>
<div class="line"><a id="l00306" name="l00306"></a><span class="lineno">  306</span><span class="comment"></span> </div>
<div class="line"><a id="l00307" name="l00307"></a><span class="lineno">  307</span><span class="comment">/** @}*/</span></div>
<div class="line"><a id="l00308" name="l00308"></a><span class="lineno">  308</span> </div>
<div class="line"><a id="l00309" name="l00309"></a><span class="lineno">  309</span><span class="keyword">namespace </span>detail{</div>
<div class="line"><a id="l00310" name="l00310"></a><span class="lineno">  310</span><span class="comment">//Required for correct shape infering of transform</span></div>
<div class="line"><a id="l00311" name="l00311"></a><span class="lineno">  311</span><span class="keyword">template</span>&lt;<span class="keyword">class</span> I, <span class="keyword">class</span> O, <span class="keyword">class</span> V&gt;</div>
<div class="line"><a id="l00312" name="l00312"></a><span class="lineno">  312</span><span class="keyword">struct </span>InferShape&lt;AbstractModel&lt;I,O,V&gt; &gt;{</div>
<div class="line"><a id="l00313" name="l00313"></a><span class="lineno">  313</span>    <span class="keyword">static</span> Shape infer(AbstractModel&lt;I,O,V&gt; <span class="keyword">const</span>&amp; f){<span class="keywordflow">return</span> f.outputShape();}</div>
<div class="line"><a id="l00314" name="l00314"></a><span class="lineno">  314</span>};</div>
<div class="line"><a id="l00315" name="l00315"></a><span class="lineno">  315</span> </div>
<div class="line"><a id="l00316" name="l00316"></a><span class="lineno">  316</span>}</div>
<div class="line"><a id="l00317" name="l00317"></a><span class="lineno">  317</span> </div>
<div class="line"><a id="l00318" name="l00318"></a><span class="lineno">  318</span>}</div>
<div class="line"><a id="l00319" name="l00319"></a><span class="lineno">  319</span> </div>
<div class="line"><a id="l00320" name="l00320"></a><span class="lineno">  320</span> </div>
<div class="line"><a id="l00321" name="l00321"></a><span class="lineno">  321</span><span class="preprocessor">#endif</span></div>
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